SIBER: Stable Isotope Data for Bayesian Niche Analysis

SIBER (Stable Isotope Bayesian Ellipses in R) is a dataset for fitting bivariate ellipses to stable isotope data using Bayesian inference. The dataset is designed to describe and compare isotopic niches, likely for ecological or environmental research. It was created by Andrew L. Jackson and is hosted on the Papers with Code platform.

Use Cases

• Modeling species' isotopic niches based on stable isotope ratio data.
• Comparing ecological niche overlap between populations or species using Bayesian ellipses.
• Analyzing trophic relationships in food webs based on stable isotope signatures.

Strengths

• Dataset is associated with a specific, peer-reviewed methodological framework (SIBER).
• Focuses on a specialized niche in ecological statistics using Bayesian inference.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Andrew L. Jackson

Collection Method

Likely compiled for the development and demonstration of the SIBER R package methodology.